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ESTIMATING THE MEAN OF INVERSE GAUSSIAN DISTRIB WTION WITH KNOWN COEFFICIENT OF VARIATION UNDER ENTROPY LOSS | ||
| Journal of Sciences, Islamic Republic of Iran | ||
| مقاله 11، دوره 8، شماره 1، خرداد 1997 اصل مقاله (237.58 K) | ||
| چکیده | ||
| An estimation problem of the mean µ of an inverse Gaussian distribution IG(µ, C µ) with known coefficient of variation c is treated as a decision problem with entropy loss function. A class of Bayes estimators is constructed, and shown to include MRSE estimator as its closure. Two important members of this class can easily be computed using continued fractions | ||
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